Nicholas Reames

Markdown Knowledge Graph is git-native project memory for AI coding agents. It turns structured Markdown in a repo into a Plan → Work → Evidence loop that humans and agents can inspect, pack, hand off, and validate.

• Keep goals, decisions, tasks, checkpoints, and evidence close to the code.
• Build deterministic context packs instead of re-explaining the project every session.
• Start here for the public overview, quickstart, GitHub, and npm package.

Developer documentation for installing mdkg, modeling work nodes, building context packs, creating handoffs, and using Markdown as repo-native project memory.

• Learn the Plan → Work → Evidence workflow.
• Understand goals, tasks, bugs, tests, spikes, checkpoints, and evidence refs.
• Use the guides when applying mdkg inside a real repo or agent workflow.

ochatr.ai is the home of Omni Chat Rooms: an AI-native workspace for goal-directed chat, reusable workflows, model comparison, and transparent credit-based usage.

• Compare models and run focused AI chats for writing, coding, research, planning, and analysis.
• Save reusable Chatrs and workflows so useful prompts, model choices, and context can be repeated.
• Long term, ochatr.ai is expanding toward agent workflows, local harness support, and Omni Cloud capabilities.

Join the ochatr.ai private-alpha waitlist for product updates, early access windows, and future Omni Chat Rooms launch notes.

• Get updates as model comparison, reusable Chatrs, workflows, and credit-based usage mature.
• Best path if you want early access rather than the main product overview.
• Long term, the credit model is designed around usage and value, not racing to consume a monthly subscription.